Elastic registration based on matrix-valued spline functions and direct integration of landmarks and intensities

Stefan Wörz; Andreas Biesdorf; Karl Rohr

doi:10.1117/12.911414

14 February 2012 Elastic registration based on matrix-valued spline functions and direct integration of landmarks and intensities

Stefan Wörz, Andreas Biesdorf, Karl Rohr

Author Affiliations +

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83141B (2012) https://doi.org/10.1117/12.911414
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

We introduce a new approach for spline-based elastic registration using both point landmarks and intensity information. With this approach, both types of information and a regularization based on the Navier equation are directly integrated in a single energy minimizing functional. For this functional, we have derived an analytic solution, which is based on matrix-valued non-radial basis functions. Our approach can cope with monomodal and multimodal images. For the latter case, we have integrated a computationally efficient analytic similarity measure. We have successfully applied our approach to synthetic images, phantom images, and MR images of the human brain.

Citation Download Citation

Stefan Wörz, Andreas Biesdorf, and Karl Rohr "Elastic registration based on matrix-valued spline functions and direct integration of landmarks and intensities", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83141B (14 February 2012); https://doi.org/10.1117/12.911414

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available